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Sub-surface sinking effect of reinforcement particle in laser assisted machining of metal matrix composites

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Title: Sub-surface sinking effect of reinforcement particle in laser assisted machining of metal matrix composites
Authors: Mypati, Omkar, Liao, Zhirong, Zan, Shusong, M'Saoubi, Rachid, Axinte, Dragos
Contributors: Lund University, Profile areas and other strong research environments, Strategic research areas (SRA), SPI: Sustainable Production Initiative, Lunds universitet, Profilområden och andra starka forskningsmiljöer, Strategiska forskningsområden (SFO), SPI: Sustainable Production Initiative, Originator, Lund University, Faculty of Engineering, LTH, Departments at LTH, Department of Industrial and Mechanical Sciences, Production and Materials Engineering, Lunds universitet, Lunds Tekniska Högskola, Institutioner vid LTH, Institutionen för industri- och maskinvetenskaper, Industriell Produktion, Originator
Source: CIRP Annals. 74(1):93-97
Subject Terms: Engineering and Technology, Materials Engineering, Manufacturing, Surface and Joining Technology, Teknik, Materialteknik, Bearbetnings, yt- och fogningsteknik
Description: Aluminium-based SiC particle-reinforced metal matrix composites are widely used in engineering applications due to their exceptional mechanical properties. However, their machining remains challenging due to the mismatch of material properties between the brittle SiC particles and the ductile aluminium matrix, causing tool wear and surface damage. To mitigate these issues, laser inverse problem scanning is utilised to strategically melt the top layer aluminium matrix, allowing the SiC particles to sink and promoting more ductile Al-matrix. The strategic hybrid laser milling approach optimises particle sinking, reduces tool wear and enhances surface integrity by minimising particle fracture, pullout and refining microstructure.
Access URL: https://doi.org/10.1016/j.cirp.2025.04.041
Database: SwePub
Description
Abstract:Aluminium-based SiC particle-reinforced metal matrix composites are widely used in engineering applications due to their exceptional mechanical properties. However, their machining remains challenging due to the mismatch of material properties between the brittle SiC particles and the ductile aluminium matrix, causing tool wear and surface damage. To mitigate these issues, laser inverse problem scanning is utilised to strategically melt the top layer aluminium matrix, allowing the SiC particles to sink and promoting more ductile Al-matrix. The strategic hybrid laser milling approach optimises particle sinking, reduces tool wear and enhances surface integrity by minimising particle fracture, pullout and refining microstructure.
ISSN:00078506
17260604
DOI:10.1016/j.cirp.2025.04.041